code: def get_losses(self, logits):
      losses = torch.relu(1 - self.cfg.training.beta * logits)
      return losses
  
file_path: h2o-llmstudio/llm_studio/src/losses/text_dpo_modeling_losses.py
imports: import logging
  from typing import Any, KeysView, Tuple
  import torch
  import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 1 for calling the HingeLoss obj's underlying member method code with example usage: obj.get_losses(logits) and returns: losses